Alberto Sanchez Marroquin
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- Position: RECOGNISED RESEARCHER
- CASE - Natural Hazards and Risk Analysis
- email: alberto [dot] sanchez [at] bsc [dot] es
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Biography
Alberto is a multidisciplinary data scientist and researcher. He has experience in atmospheric science (aerosol measurement and modelling, atmospheric deep convection) as well as the use of physical and statistical models (machine learning). He has a PhD in atmospheric science from the University of Leeds (UK), where he focused on ice-nucleating particles. He is particularly interested in studying atmospheric phenomena from a data science and machine learning perspective and the application of these techniques to real-world problems.
Educación
- Degree in Physics from the University of Valencia (2012-2016)
- PhD in atmospheric science (2016-2020): Measuring and identifying ice-nucleating particles in the atmopshere
Research
- Research Fellow in Aerosol Modelling, University of Leeds (2020-2022)
- Data Scientist in the UK Health Security Agency (2022-2023)
- Data Scientist - Researcher in the BSC (2023-present)
Main Research Lines
- Hazard and Compound Hazard Risk Modelling under Current and Future Climate Scenarios
- Transferability of AI-Based Hazard Models to Data-Scarce Regions
- Integration of Risk Models with Community-Based Early Warning Systems
- Modelization of Climatic Events with Statistical and AI Approaches
- Climate Change Impacts on Public Health, Agricultural, Energy, and the Environment
